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De chi‐kwadraat‐toets voor aanpassing van continue verdelingen

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  • J. Hermans

Abstract

Summary A description is given of the version of the chi‐square test of goodness‐of‐fit proposed by G. S. Watson (1957, 1958). This version is applicable if one has a full sample x1, x2,…xn from a (under the null‐hypothesis) continuous distribution. To estimate the unknown parameters it uses (as will be general practice in this situation) the sample values x and not the class‐numbers n1, n2,…, nk. To calculate the asymptotic distribution of the test statistic a more detailed description is given of a method originally proposed by Harper and MacDonald (1960). Some numerical calculations in case of the normal distribution lead to the conclusion that the asymptotic distribution may be well approximated by a x2 distribution.

Suggested Citation

  • J. Hermans, 1969. "De chi‐kwadraat‐toets voor aanpassing van continue verdelingen," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 23(4), pages 277-285, December.
    • Handle: RePEc:bla:stanee:v:23:y:1969:i:4:p:277-285
    DOI: 10.1111/j.1467-9574.1969.tb00098.x
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